Scheduling Research Articles

E-Log System in Monitoring of Residency Program: Trainees' Perspective.

To record residents' perspective about the utility of newly introduced E-Log system at the College of Physicians and Surgeons Pakistan (CPSP). Sequential mixed method design using survey questionnaire and in-depth interviews. CPSP, Regional Center, Lahore, from March to June 2014. Data was collected from registered trainees through a web-based survey questionnaire on a scale of 1 to 7 about the utility of E-log system. In-depth interviews were conducted with 7 students using non-probability purposive sampling. The interviews were tape recorded and subsequently transcribed. Quantitative data was analyzed using SPSS version 20 and qualitative data was analyzed using content analysis by identifying themes and patterns. Atotal of 4399 responses were received. Motivation was 4.61 ± 1.98; 4.33 ± 2.00 remained acknowledgment of control of one's training by the new system. Ease of use got a mean score of 4.56 ± 2.15. The overall acceptance of the students regarding E-Log system was high. Scheduling IT workshop at the start of training will add to the student satisfaction regarding utility of E-Log system.

A time-cost trade-off model by incorporating fuzzy earned value management

Time--cost trade-off problems TCT are well-known in project management contents. This approach normally applied for scheduling of a project especially where the project should be completed under pr...

An oppositional learning based gravitational search algorithm for short term hydrothermal scheduling

This paper presents an oppositional based gravitational search algorithm (OGSA) for solving the short term hydrothermal scheduling (STHTS) problem. The STHTS problem involves the optimization of nonlinear constrained objective function by taking into consideration of multireservoir cascaded nature hydro plants, water transportation delay between cascaded reservoirs and scheduled time linkages, variable system active load balance, water discharge and reservoir storage limits, initial and final reservoir storage limits, reservoir flow balance and operating limits of hydro and thermal plants. A stochastic search algorithm known as gravitational search algorithm (GSA) inspired from the law of gravity and mass interactions is used to solve this complex constrained STHTS problem. In order to improve the convergence rate of GSA, the opposite numbers are utilized in the evolution process of GSA. Finally, the proposed oppositional gravitational search algorithm (OGSA) approach is evaluated on two test systems, one consisting of four hydro plants and an equivalent thermal plant and the other one with nine cascaded hydro and three thermal plants. The results obtained with the proposed approach give better solution in terms of less production cost, execution time and better convergence characteristics while comparing with the results of other methods reported in the literature.

Differences and Problems Task Scheduling Algorithm -A Survey

Differences and Problems Task Scheduling Algorithm -A Survey

Cloud-based mapreduce workflow execution platform

With increasing demand of data-intensive applications, mapreduce technologies have become useful tools to develop large scale applications efficiently by integrating various existing mapreduce jobs. However, there are few existing researches of workflow systems which can integrates mapreduce jobs with on-demand cloud resource provisioning. In this paper, we present a new cloud-based mapreduce workflow execution platform named DIVECWM (Distributed-parallel Virtual Environment on Cloud computing for Workflow for launching Mapreduce jobs) which integrates multiple mapreduce jobs and legacy programs into a single workflow. It provides a transparent and selective job scheduling by estimating the execution time in advance for workflow to execute all its jobs. Also, it supports automatic resource provisioning scheme which offers on-demand VM resources automatically to launch a workflow onto cloud. Furthermore, it provides an agent based resource management for automatic job deployment and execution of workflow on mapreduce clusters. Additionally, service oriented architecture based on web service API and graphical user interface offers high accessibility and convenience to user and other systems. We show the experimental results which compares the different scheduling schemes for various workflows.

Component pick and place scheduling for surface mount device placement machine

Component pick and place scheduling for surface mount device placement machine

An Adaptive DBA Scheme Using Bi-Partition Scheduling Based on Prioritized Traffics to Support Multiple Services over GPON

With the emerging broadband demand of diversified services, the gigabit-capable PON (GPON) has emerged as one of the most promising broadband access network solutions due to the increasing demand for residential bandwidth. In this paper, a novel bi-partition group based on prioritized traffics dynamic bandwidth allocation (BDBA) scheme is proposed to deliver the differentiated services over GPON. The proposed BDBA scheme divides the transmission cycle time into two groups with prioritized traffics and adjusts the bandwidth dynamically between the first group for high priorities T-CONT 1, and T-CONT 2 and the second group for low priorities T-CONT 3, and T-CONT 4. Moreover, the T-CONT 2 traffic has prediction mechanism and recycles the remaining unused bandwidth for the low priority T-CONTs. Simulation result shows that the proposed BDBA scheme can improve the system performance in terms of the throughput, blocking probability, end-to-end packet delay, jitter and fairness for 16 ONUs and 32 ONUs, and also can enhance Quality of Service (QoS) services without sacrificing the low priority traffic except before the system is half-loaded.

Resilience analysis for project scheduling with renewable resource constraint and uncertain activity durations

In the real world, project construction usually suffers various uncertain factors. Traditionally, uncertainty is modelled as either random variables or dynamic events. This paper addresses the case that the information about uncertainty is partially known when developing project schedules. The concept of resilience is introduced into project scheduling problems with resource constraint to measure a schedule's ability to absorb possible perturbation. The definition of resilience is given based on project equilibriums. Since the calculation of resilience is time intensive, a new surrogate measure is proposed to indicate schedule resilience. Correlation analysis between resilience and proposed surrogate measure is carried out. The experimental results suggest that the proposed surrogate measure is more appropriate to indicate resilience than makespan or total free slack.

GITIRBio: A Semantic and Distributed Service Oriented-Architecture for Bioinformatics Pipeline.

The need to process large quantities of data generated from genomic sequencing has resulted in a difficult task for life scientists who are not familiar with the use of command-line operations or developments in high performance computing and parallelization. This knowledge gap, along with unfamiliarity with necessary processes, can hinder the execution of data processing tasks. Furthermore, many of the commonly used bioinformatics tools for the scientific community are presented as isolated, unrelated entities that do not provide an integrated, guided, and assisted interaction with the scheduling facilities of computational resources or distribution, processing and mapping with runtime analysis. This paper presents the first approximation of a Web Services platform-based architecture (GITIRBio) that acts as a distributed front-end system for autonomous and assisted processing of parallel bioinformatics pipelines that has been validated using multiple sequences. Additionally, this platform allows integration with semantic repositories of genes for search annotations. GITIRBio is available at: http://c-head.ucaldas.edu.co:8080/gitirbio.

Energy-saving resource scheduling algorithm based on workload characteristic clustering

When infrastructure as a service( Iaa S) providers offer high performance services for users,they must think about how to reduce the energy cost of the cloud platform without violating the service level agreement( SLA). A resource scheduling algorithm to ensure SLA was proposed based on clustering analysis of the load characteristic. Ultimately,the targets of reducing SLA violation rate and saving energy were realized.The resource scheduling algorithm was analyzed based on improved K-means clustering analysis and extraction of workload characteristic according to energy consumption. Physical resources were effectively allocated to ensure the requirement of energy saving of Iaa S platform. Based on the extension of the Cloud Sim simulation platform,the algorithm proposed was compared with the optimized best fit decreasing( BFD) to show lower SLA violation rate and energy consumption.

Irrigation water requirements of rice using CROPWAT model in northern Benin.

Understanding crop water requirements (CWR) in semi-arid region is essential for better irrigation practices, scheduling and efficient use of water since the water supply through rainfall is limited. This paper estimated the crop reference and actual evapotranspiration (Eto and ETc) respectively and the irrigation water requirement of rice (Oryza sativa L.) in Benin’s sub-basin of Niger River (BSBNR) of west Africa, using CROPWAT model. The long recorded climatic data, crop and soil data from 1942 to 2012 were computed with the Cropwat model which is based on the United Nations’ Food and Agriculture Organization (FAO) paper number 56 (FAO56). The Penman-Monteith method was used to estimate ETo. Crop coefficients (Kc) from the phenomenological stages of rice were applied to adjust and estimate the actual evapotranspiration ETc through a water balance of the irrigation water requirements (IR). The results showed the BSBNR annual reference evapotranspiration (ETo) was estimated at 1 967 mm. The lowest monthly value of ETo of 123 mm, was observed in August month, middle of the rainy season while the highest value 210 mm was observed in March within dry season. The crop evapotranspiration ETc and the crop irrigation requirements were estimated at 651 mm and 383 mm, respectively in rainy season and 920 mm and 1 148 mm, respectively within a dry season. Irrigation projects of these seasons can then be scheduled for water use efficiency based on these findings. Keywords: crop evapotranspiration, irrigation water requirement, rice, CROPWAT, model, Benin DOI: 10.3965/j.ijabe.20150802.1290

Optimal early refill rules for Danjiangkou Reservoir

Water levels in reservoirs are generally not allowed to exceed the flood-limited water level during the flood season, which means that huge amounts of water spill in order to provide adequate storage for flood prevention and that it is difficult to fill the reservoir fully at the end of year. Early reservoir refill is an effective method for addressing the contradiction between the needs of flood control and of comprehensive utilization. This study selected the Danjiangkou Reservoir, which is the water source for the middle route of the South-North Water Diversion Project (SNWDP) in China, as a case study, and analyzed the necessity and operational feasibility of early reservoir refill. An early reservoir refill model is proposed based on the maximum average storage ratio, optimized by the progressive optimality algorithm, and the optimal scheduling schemes were obtained. Results show that the best time of refill operation for the Danjiangkou Reservoir is September 15, and the upper limit water level during September is 166 m. The proposed early refill scheme, in stages, can increase the annual average storage ratio from 77.51% to 81.99%, and decrease spilled water from 2.439 × 109 m3 to 1.692 × 109 m3, in comparison to the original design scheme. The suggested early reservoir refill scheme can be easily operated with significant comprehensive benefits, which may provide a good reference for scheduling decision-making.

Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm

Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were obtained by calculating the daily runoff process within three typical years, and a large number of simulated daily runoff processes were obtained using the progressive optimality algorithm (POA) in combination with the genetic algorithm (GA). After analyzing the optimal scheduling processes, the corresponding scheduling rules were determined, and the practical formulas were obtained. These rules can make full use of the rolling runoff forecast and carry out the rolling scheduling. Compared with the optimized results, the maximum relative difference of the annual power generation obtained by the scheduling rules is no more than 1%. The effectiveness and practical applicability of the scheduling rules are demonstrated by a case study. This study provides a new perspective for formulating the rules of power generation dispatching.

Research on the establishment of nurse scheduling model

Objective To establish a scientific and rational nurse scheduling model for saving nursing human resources and schedule time for head nurses. Methods The nurses and the patients were divided into groups respectively. According to the principle of convention and common multiple, the mathematical logic algorithm was used to calculate working hours, rest and backup scheduling. Results ST basic scheduling model was established and the extension model 1, 2, and merge models 1, 2 was added on the basic of ST scheduling. Conclusions Based on the basic model, free combination and extension model, appropriate scheduling model was selected according to the number of patients and disease condition. It′s convenient which saves the scheduling time of the head nurses. At the same time, it standardizes the backup scheduling, fixes the backup nurses, and saves the nursing resources. Key words: Nurses; Nursing administration research; ST scheduling model

A multi-period joint energy scheduling algorithm in smart home based on prediction of the residents energy consumption

In this paper, considering a tradeoff between consumers comfort and energy efficiency, a multi-period joint energy scheduling algorithm (MPJ-ESA) based on prediction of residents energy consumption is proposed, which includes long-period preliminary sch eduling, short-period preliminary scheduling, and real-time fine-tuning scheduling. First, by analyzing historical data of energy consumption, preferred usage profile of consumers is inferred, and the dynamic comfort level is presented. Then the paper uses the wavelet neural networks (WNNs) prediction algorithm to predict the operation of the appliances which are classified into appliances with unschedulable mode and schedulable mode. Based on the energy consumption prediction and dynamic comfort level, home appliances running state are scheduled according to the prediction of renewable energy available amount and real-time pricing (RTP). The simulation results show that scheduling algorithm effectively improves the energy efficiency and enhances user satisfaction with the operation of scheduled appliances and let the consumers comfort and energy efficiency achieve a better tradeoff.

Solving the job shop scheduling problem with operators by depth-first heuristic search enhanced with global pruning rules

The job shop scheduling problem with an additional resource type has been recently proposed to model the situation where each operation in a job shop has to be assisted by one of a limited set of h...

Real-time scheduling for models in computer generated forces

Real-time scheduling for models in computer generated forces

An Active Power Control Model of PV Power Station Suitable for Full Dynamic Simulation

As the large-scale integration of photovoltaic(PV) power station, a higher requirement is put forward by power grid analysis on the accuracy of PV station model. The PV station applies different strategies with/without scheduling instructions, or under normal/failure condition, so it has different characteristics in multi-time scale. In order to study its dynamic characteristics, an active power control model of PV power station suitable for full dynamic simulation was proposed, which could simulate the active power fluctuations of PV power station using light intensity/temperature and schedule command curves, by building station AGC control model and inverter control model. The proposed model was realized in PSD-FDS program and verified using measured data from Ningxia grid. The simulation results show that the proposed PV power station model could provide effective tool for analyzing the PV power station's dynamic characteristic.

The Official Control beyond the Official Control. How To Plan And Schedule Controls Starting From Risk Assessment Along The Agro-Food Supply Chain.

Every year the Italian Ministry of Health, on the basis of regional data, draws up the "Report on Official Controls" to be submitted to the Parliament. The report contains abundant data, diagrams and charts and illustrates the number and type of official controls (OC) performed by the pertinent Bodies (Ministry of Health, Regional and Local Health Authorities) over the previous year on Food Business Operators (FBO), in accordance with the EC Regulation 882/2004. The trend - which has consolidated over the years - relates to the multiplicity of OC and shows a decrease of such controls compared to an increase in "non-conformities". OC frequency is established by the Regional Authorities on the basis of the categorisation of both a "generic risk" for companies calculated taking into account the probability of occurrence of a "non-conformity", and a "specific" risk, assessed on the basis of the results of the OC actually performed on a given "Operatore del Settore Alimentare" (Food Sector Operator, in Italian: OSA). Thus, categorisation (i.e. the probability of occurrence of non-conformities) is the main driver of the OC scheduling and planning process. We have been asking ourselves whether the current OC planning/scheduling method is still suitable for ensuring food safety in the face of internalisation of the food supply chain. As a matter of fact, food safety is now becoming increasingly variable due to the globalization of consumption where "farm to fork", rather than "border to fork", food safety must be ensured. On the basis of these considerations, a different OC planning /scheduling method is being proposed based on the assessment of risks and the estimation of the occurrence of the same along the agro-food chain.

Use Scheduler To Get the Most From AMDA Conference

Use Scheduler To Get the Most From AMDA Conference